Abstract
Background
The increase in multidrug resistant Plasmodium falciparum infections threatens the malaria elimination goals in countries within the Greater Mekong Sub-region. A multi-pronged approach assuring access to basic malaria control measures, including insecticide-treated bed nets and early diagnosis and treatment was followed by mass drug administrations (MDA) in southern Savannakhet Province, Laos. The main objective of this study was to evaluate the effectiveness and safety of mass drug administrations as well as their effects on the dynamic of asymptomatic P. falciparum infections in 4 malaria endemic villages.
Methods
Two villages were randomized to early MDA consisting of 3 rounds of a 3-day course of dihydroartemisinin–piperaquine with a single low dose of primaquine. In the other 2 villages MDA was deferred by 1 year. A total of 1036 residents were enrolled in early MDA villages and 883 in control villages (deferred-MDA). Tri-monthly parasitaemia surveys using uPCR were conducted for a year in the 4 villages.
Results
Eighty-four percent (872/1036) of the residents participated in the MDAs, of whom 90% (781/872) completed 3 rounds of MDA (9 doses). In intervention villages, the prevalence of asymptomatic P. falciparum infections decreased by 85% after MDA from 4.8% (95% CI 3.4–6.4) at baseline (month 0 or M0) to 0.7% (95% CI 0.3–1.6) at month 12. In control villages there was a decrease of 33% in P. falciparum prevalence between M0: 17.5% (95% CI 15.9–20.3) and M12: 11.6% (95% CI 9.3–14.2). In bivariate and multivariate analyses P. falciparum infections were significantly reduced with early MDA (adjusted incidence rate ratios (AIRR): 0.08, CI 0.01–0.091) and completion of 3 MDA rounds (AIRR: 0.06; CI 0.01–0.66). A quarter of participants (226/872) reported adverse events of which 99% were mild.
Conclusion
The study found a significant reduction in P. falciparum prevalence and incidence following MDA. MDA was safe, well tolerated, feasible, and achieved high population coverage and adherence. MDAs must be integrated in multi-pronged approaches such as vector control and preventive measures with a focus on specific risk groups such as mobile, migrant population and forest goers for a sustained period to eliminate the remaining parasite reservoirs.
Trial registration ClinicalTrials.gov Identifier: NCT01872702
Keywords: Asymptomatic parasitaemia, P. falciparum, Elimination, MDA, Savannakhet, Laos
Background
The emergence and spread of resistance to artemisinins and its partner drugs in the Greater Mekong Sub-region (GMS) currently available to treat Plasmodium falciparum, are a threat to the control and elimination of malaria [1]. Failure to contain and eliminate multi-drug resistant malaria from the GMS could result in a public health disaster [2].
The National Malaria Control Programme of Laos relies on routine case detection and treatment in peripheral health centres [3]. Microscopy is available only in central, regional, provincial and district level health facilities and rapid diagnostic tests (RDTs) are the diagnostic mainstay [3]. Polymerase chain reaction (PCR) is not used for the routine diagnosis of malaria [4]. Artemisinin-based combination therapy (ACT) with coformulated artemether + lumefantrine (AL) was introduced as a pilot intervention for early diagnosis and treatment (EDAT) in 2005 and scaled-up gradually to cover all health facilities across the country in 2008 [5]. AL remains the first line treatment in Laos [6].
A recent study had identified artemisinin resistant P. falciparum strains in Phouvong District of Attapeu [1] and in two districts of Champasak Province, southern Laos [5, 6]. In response to reports of multi-drug resistant P. falciparum malaria, among the multi-pronged approaches for containment and elimination, Laos has been intensifying the distribution of long-lasting insecticide-treated net (LLIN) and indoor residual spraying (IRS) [7].
As a part of the national strategic plan for malaria control and elimination, Laos has adopted the goal to eliminate P. falciparum malaria by 2030 [4, 5, 8]. There is an urgent need to find effective interventions to rapidly reduce the P. falciparum malaria reservoirs from the country.
The main objective of this study was to evaluate the feasibility, safety, acceptability and impact of a pilot implementation of targeted malaria-elimination (TME) on the dynamics of asymptomatic P. falciparum infection in Laos. TME aims to eliminate P. falciparum parasites by mass drug administration (MDA) with dihydroartemisinin–piperaquine (DHA–PP) plus a single low dose of primaquine (SLPQ) in villages where basic malaria control measures (early diagnosis, appropriate treatment, and universal access to LLINs) have been established but transmission persists. The dynamic of submicroscopic P. falciparum parasitaemia before MDA and during the tri-monthly follow-up over a 12 months period was studied in order to provide a better understanding and objective evidence of its impact on the submicroscopic parasite reservoir. The findings from this study are expected to guide the national malaria control strategies in Laos. This article describes the impact of MDA on P. falciparum infections; a second report will describe the impact on Plasmodium vivax infections.
Methods
Study site and design
This was a cluster-randomized, open, controlled clinical trial conducted between April 2016 and May 2017 in Nong District in the southern Savannakhet Province of Laos. In 2014, five of the 15 districts of Savannakhet Province were classified as strata 3 (high risk) where the Annual Parasite Incidence (API) was above 10 per 1000 people at risk and Nong was the district with the second highest API (15 per 1000 people) in the province [6]. The study was part of a multicentre trial conducted in Myanmar, Vietnam, Cambodia and Laos to evaluate the impact of mass DHA/piperaquine administrations on P. falciparum [9].
Community engagement and study procedures
Initial steps in community engagement entailed comprehensive workshops with central, provincial and district level authorities to explain the purpose of the project and its procedures. These workshops were attended by representatives of the government health authorities including the Lao Womens Union, Lao Youth Organization, education and culture departments, village heads and elders [7, 10, 11]. In parallel with engagement workshops, prevalence surveys were conducted in 20 villages to determine the prevalence of malaria [4]. Based on uPCR surveys the 4 villages with the highest P. falciparum prevalence and enthusiasm were chosen for this study: Phoun Mak My (PMM; population: 480), Tha Thay (TT; population: 526), Xuang Tai (XT; population: 371) and Oi Tan Tip (OTP; population: 512) [4] (Fig. 1). Two villages, PMM and TT received MDA in the 1st year (intervention villages), and the remaining two villages XT and OTP received deferred MDA in the 2nd year (control villages). The intervention, early versus deferred MDA was allocated by restricted randomization within two pairs of villages matched for geographical proximity and parasite prevalence. In the control villages the coverage and the impact of the deferred MDA on P. falciparum infections as well as adverse events were not evaluated.
Intense community engagement activities were conducted in each village before and during the MDA as described in detail elsewhere [7, 10, 11]. All villagers who agreed to provide written informed consent (by parents or guardian in case of children) were invited to participate in the study except pregnant women, children aged less than 6 months, participants with a history of allergy or known contraindication to the study drugs and candidates who were in the opinion of the study clinician, too ill to participate. The baseline (M0) and tri-monthly follow-up surveys (M3, M6, M9 and M12) were conducted over a 1-year period.
All the eligible participants were registered and provided with a unique study number. Sociodemographic characteristics of the participants and the recent clinical history were recorded in Open Data Kit (ODK®) application (www.opendatakit.org) using a smartphone. All participants were provided compensation for their travel expenses and loss of income consistent with the recommendations of the local ethical committee [10].
Mass drug administration
Following blood sampling each participant received (under direct observation) a full course of DHA–PP (7 mg/kg dihydroartemisinin and 55 mg/kg piperaquine) for 3 days plus a single low dose of PQ (0.25 mg/kg, given on day 1) on M0, M1, M2 [10]. A home visit was made by village volunteers together with TME doctors if participants developed an adverse event (AE) following the MDA [10]. All adverse events or drug-related side effects were assessed, treated and documented.
Sample collection
During the quarterly blood surveys, a 3.0 mL blood sample was collected from participants over 5 years of age and 0.5 mL from children under 5 years [7, 10, 11]. The blood samples were collected in EDTA anticoagulated tubes and stored in ice packed cool boxes and transported to a centralized field laboratory in the district within 12 h of blood collection. Upon return to the centralized laboratory, whole blood was separated and the red blood cell pellets were promptly frozen and stored at − 30 °C for up to 7 days. Each sample was labelled with a barcode and negative controls were added to the sample pool. The samples were transported on dry ice to the molecular laboratory of the Mahidol Oxford Tropical Medicine Research Unit (MORU) in Bangkok, Thailand for uPCR analysis. All participants were diagnosed on sites for malaria using the SD Bioline Ag P. falciparum/Pan (Standard Diagnostics Inc.) rapid diagnostic test (RDT). Those with positive RDTs were treated with artemether/lumefantrine, as per the Lao national treatment guidelines. RDT tests were performed and interpreted by an experienced laboratory technician following the manufacturer’s recommendation.
DNA extraction and PCR amplification
DNA was extracted from thawed packed red blood cells using an automated DNA extraction machine (QIAsymphony and DPS DNA midi kit; Qiagen, Germany). The DNA was dried, concentrated and then used as a template for PCR detection and quantification of Plasmodium. Quantitative PCR (uPCR) analysis was performed as described elsewhere [12]. Briefly, DNA of Plasmodium was detected and quantified using 18S rRNA-targeting primers. For Plasmodium positive samples, an attempt was made to identify the species using P. falciparum and P. vivax specific PCR primers as described [12].
Statistical analysis
The socio-demographic characteristics of the participants was described using frequency and percentage for the categorical variables while median and interquartile range (IQR) were used for the continuous variables except for parasite density which was analysed by using geometric mean and 95% confidence interval (CI). The Chi squared test was used to test the statistical difference of normally distributed groups and the Wilcoxon rank-sum test to analyse was used to test the statistical difference of the median or distribution between groups with skewed distribution.
The prevalence and 95% confidence intervals of P. falciparum infection for each 3-month interval was analysed using the number of people with P. falciparum or mixed infections as numerator and number of villagers for whom a uPCR results were available as denominator. The prevalence of P. falciparum infection at each time point after month 3 and over time was compared between early MDA and deferred-MDA villages using multilevel logistic regression models clustered by villages and adjusted for repeated observations.
The incidence rate (person-years) and 95% confidence intervals of P. falciparum infection for each 3-monthly period was estimated using the number of people found infected divided by their exposure time (person-year). The incidence rate for each time point after month 3 and over time was compared between early MDA and deferred-MDA villages using multilevel Poisson regression models clustered by villages and adjusted repeated observations.
The MDA coverage was estimated as the proportions of villagers who completed the MDA at month 0, 1, and 2 and for all 3 MDA rounds. Participation was categorized as “not received MDA”, “not completed MDA”, “completed 3 days MDA”, “taken any dose in 3 rounds”, and “completed all 3 rounds” using all villagers living at the time of the MDA in villages as denominator. The blood sampling coverage was estimated as number of people who gave blood sample in each 3-monthly survey with number of residents at the time of the survey in the early MDA and deferred-MDA villages.
A univariate analysis was performed to obtain the unadjusted estimates of incidence rate ratios (IRR) of infections and MDA status as well as associations with each of the baseline variables including sex, age, fever, bed net use and season. A multivariable analysis was used to obtain the adjusted estimates. The impact of the MDA was examined using a multilevel mixed effect Poisson model to obtain the IRR of P. falciparum infection with 95% confidence interval. Multilevel mixed effect modelling allowed adjusting for village, villager and repeated measurements specific random effects. In the multilevel model, level 1 was repeated measurements of villagers over time, level 2 was villagers, and level 3 was village. To assess the impact of the treatment and prophylactic effect of the anti-malarial drugs a secondary analysis was conducted in which the first 3 months of surveillance in the intervention villages was omitted.
A p-value < 0.05 was considered statistically significant. All analyses were performed using Stata, version 14 (StataCorp LLC, College Station, Texas). The seasonal variation in P. falciparum infections at each time point of both MDA and non-MDA villages was described using monthly rainfall data of Nong district provided by the Savannakhet Meteorological office.
Ethical consideration
The study protocol was approved by the National Ethic Committee for Health Research (013NIOPH/NECHR. 15th February, 2016), Ministry of Health, Laos, the Oxford Tropical Research Ethics Committee (OXTREC-1017-13. 9th April, 2015), and Ethical Committee of the Faculty of Tropical Medicine, Mahidol University (TMCD 00754. 8th Dec, 2016).
Results
Baseline characteristics
A total of 2021 participants were registered and participated in the baseline survey in four selected villages, of which 52% (1060/2021) were from intervention (early MDA) villages and 48% (961/2021) from control (deferred MDA) villages (Fig. 2). The majority of participants in both early MDA (80%; 871/1036) and deferred-MDA villages (84%; 810/883) (p = 0.046) reported that they had worked in the forest during the last 3 months. More than half of the population used a bed net in both early MDA (56%; 498/887) and deferred-MDA villages (62%; 506/811; p = 0.030) villages (Table 1).
Table 1.
Characteristics | Early MDA-intervention villages | Deferred-MDA control villages | p-valuea |
---|---|---|---|
(N = 1060) | (N = 961) | ||
Gender, n (%) | 0.981 | ||
Male | 537 (51) | 462 (51) | |
Female | 523 (49) | 499 (49) | |
Age, median (IQR) | 17 (8–32) | 15 (6–30) | < 0.001 |
Age group (years), n (%) | 0.644 | ||
< 10 | 345 (33) | 319 (35) | |
10–19 | 241 (23) | 204 (22) | |
20–39 | 289 (27) | 243 (27) | |
40 or more | 185 (17) | 145 (16) | |
Occupation, n (%) | 0.005 | ||
Farmer | 579 (55) | 461 (51) | |
Child | 198 (19) | 231 (25) | |
Student | 231 (22) | 181 (20) | |
Others | 52 (5) | 38 (4) | |
Type of resident, n (%) | 0.783 | ||
Permanent | 1042 (98) | 898 (99) | |
Temporary | 18 (2) | 13 (1) | |
Villagers in village during the survey, n (%) | 1036 (98) | 883 (97) | |
Stay overnight in forest, n (%) | (n = 871) | (n = 810) | 0.046 |
No | 766 (88) | 732 (90) | |
Yes, < 2 weeks ago | 78 (9) | 67 (8) | |
Yes, ≥ 2 weeks | 27 (3) | 11 (1) | |
Weight (kg) median (IQR) | (n = 888) | (n = 811) | 0.075 |
40 (19–49) | 38 (18–46) | ||
Height (cm), median (IQR) | (n = 886) | (n = 811) | < 0.001 |
144 (118–153) | 143 (115–152) | ||
Temperature (c), median (IQR) | (n = 888) | (n = 811) | < 0.001 |
36.9 (36.7–37.1) | 36.9 (36.7–37.0) | ||
Fever on registration date, (T ≥ 37.5 °C) | 43 (5) | 27 (3) | 0.117 |
Feverb | 120 (14) | 146 (18) | 0.011 |
Bed net use, n (%) | (n = 887) | (n = 811) | 0.030 |
Regular | 498 (56) | 506 (62) | |
Irregular | 322 (36) | 249 (31) | |
Never use | 67 (8) | 56 (7) | |
Asymptomatic Pf prevalence, n (%) | (n = 859) | (n = 802) | < 0.001 |
41 (4.8) | 140 (17.4) | ||
Pf clinical cases, n (%) | 1 (0.1%) | 2 (0.2%) | |
Pf densityc, geometric mean (95% CI) | 10,864 (1676–20,795) | 61,426 (42,542–88,693) | < 0.001 |
Median (IQR) tested using Wilcoxon rank-sum test
aN (%) tested using Chi square test or Fisher’s exact test (f)
bHistory of fever combined with Temp ≥ 37.5
cTest in log scale using Student’s test
Compliance with blood sampling, follow-up, and MDA coverage
The overall percentage of the villagers who participated in blood sampling at least once was 88% (948/1073) in early MDA villages and 93% (875/936) in deferred-MDA (p < 0.001). Among the 1073 villagers, 36 (3.3%) were not eligible for the mass drug administration. The percentage of the participants who took at least one dose of MDA was 84% (872/1036) and 90% (781/872) took the full nine doses in all 3 rounds in the early MDA villages. The percentage of the participants who had completed 3 days was 79.3% (822/1036) at M0, 79.2% (821/1036) at M1 and 81.3% (843/1036) at M3. The percentage of the participants who had not completed any MDA was 2% (20/1036) at M0, 1% (10/1036) at M1 and 0.6% (6/1036) at M2 (Table 2).
Table 2.
Characteristics | Baseline | Follow-up time | ||||||
---|---|---|---|---|---|---|---|---|
M0 (MDA1) | M1 (MDA2) | M2 (MDA3) | M3 | M6 | M9 | M12 | Overallb | |
Number of villagers in village during the surveya | ||||||||
Intervention village (early MDA) | 1036 | 1036 | 1036 | 1029 | 1012 | 1022 | 1022 | 1073 |
Control village (deferred MDA) | 883 | 889 | 877 | 879 | 899 | 936 | ||
Blood sampling coverage, n (%) | ||||||||
Intervention village (early MDA) | 879 (85) | 745 (72%) | 801 (79%) | 792 (77%) | 808 (79%) | 948 (88%) | ||
Control village (deferred MDA) | 803 (91) | 722 (81%) | 655 (75%) | 618 (70%) | 689 (77%) | 875 (93%) | ||
p-value | < 0.001 | |||||||
MDA coverage in intervention village, n (%) | ||||||||
Not received MDA | 194 (19.0) | 205 (19.8) | 187 (18.0) | |||||
Not completed MDA | 20 (2.0) | 10 (1.0) | 6 (0.6) | |||||
Completed 3 days MDA | 822 (79.3) | 821 (79.2) | 843 (81.3) | |||||
People who took any dose in 3 rounds, n (%) | 872 (84) | |||||||
Completed 3 rounds (9 doses) | 781 (90) |
aExcluded people away
bAt least participated once
The effects of MDA on the prevalence and incidence of asymptomatic P. falciparum in the early MDA villages as confirmed by uPCR
In early MDA villages, the prevalence (95% CI) of asymptomatic P. falciparum parasitaemia at baseline (M0) was 4.8% (3.4–6.4; Fig. 3). The prevalence of P. falciparum infections during tri-monthly follow-up was 0% (0–0.5) at M3, 1.1% (0.5–2.1) at M6, 0.6% (0.2–1.5) at M9 and 0.7% (0.3–1.6) at M12. In deferred-MDA villages, P. falciparum prevalence was 17.5% (15.9–20.3) at baseline. The prevalence of P. falciparum parasitaemia was declined significantly over time in early MDA villages (AOR = 0.82; CI 0.74–0.86, p < 0.001) but this was not significant in deferred-MDA villages (AOR: 0.97; CI 0.94–1.01, p = 0.101) (Table 3).
Table 3.
Variables | Village status | Baseline | Follow-up time | Over follow-up time | |||
---|---|---|---|---|---|---|---|
M0 | M3 | M6 | M9 | M12 | |||
Number of villagers* | Early MDA | 859 | 745 | 801 | 792 | 808 | |
Deferred-MDA | 802 | 722 | 655 | 618 | 689 | ||
Number of Pf infections | Early MDA | 41 | 0 | 9 | 5 | 6 | |
Deferred-MDA | 140 | 90 | 98 | 85 | 80 | ||
Pf prevalence, % and (95% CI) | Early MDA* | 4.8 (3.4–6.4) | 0 (0–0.5) | 1.1 (0.5–2.1) | 0.6 (0.2–1.5) | 0.7 (0.3–1.6) | |
Deferred-MDA | 17.5 (15.9–20) | 12.5 (10.1–15.1) | 15 (12.3–17.9) | 13.8 (11.1–16.7) | 11.6 (9.3–14.2) | ||
Comparison between group, AOR (95% CI, p-value) ** | 0.18 (0.01–3.38, 0.254) | 0.07 (0.01–1.26, 0.072) | 0.13 (0.01–2.37, 0.170) | 0.42 (0.01–12.28, 0.611) | |||
Pf exposure time (person-years) | Early MDA | N/A | 183 | 196 | 192 | 198 | |
Deferred-MDA | N/A | 176 | 159 | 151 | 167 | ||
Incidence of Pf infection (per 1000 person-years) | Early MDA | N/A | 0 (0–20) | 46 (21–87) | 26 (8–61) | 30 (11–66) | |
Deferred-MDA | N/A | 510 (410–627) | 617 (501–752) | 563 (450–696) | 478 (379–595) | ||
Comparison between group, AIRR (95% CI, p-value)** | 0.21 (0.01–3.08, 0.254) | 0.09 (0.01–1.24, 0.071) | 0.15 (0.01–2.24, 0.169) | 0.08 (0.01–0.88, 0.039) |
*Significant declining over time in early MDA group, (AOR = 0.82, 95% CI 0.74–0.86, p-value < 0.001) but this was not significant in Non-MDA group, (AOR = 0.97, 95% CI 0.94–1.01, p-value = 0.101)
**Adjusted for Pf prevalence at baseline (village level) and cluster (village) effect
The incidence rate (95% CI) of P. falciparum infections per 1000 person-years in early MDA village was 0/1000 (0–20) at M3, increased to 46/1000 (21–87) at M6, 26/1000 (8–61) at M9 and remained 30 (11–66) at M12 (Fig. 4). The incidence rate in the deferred villages was 510/1000 (410–627) at M3, 617/1000 (501–752) at M6, 563/1000 (450–696) at M9 and 478/1000 (379–595) at M12 (AIRR: 0.08; CI 0.01–0.88, p = 0.039; Table 3 and Fig. 4).
The incidence rate was significantly lower in people who had completed 3 MDA rounds than in people who had completed < 3 rounds of MDA (AIRR: 0.06, 95% CI 0.01–1.70; p = 0.022) (Table 4). If the infections that occurred during the first 3 months of surveillance in the intervention villages is omitted the AIRR is 0.11 (95% CI 0.01–1.16).
Table 4.
Characteristics | IRR (95% CI) | p-value | Model 1: MDA intervention Adjusted IRR (95% CI)a |
p-value | Model 2: MDA coverage Adjusted IRR (95% CI)a |
p-value |
---|---|---|---|---|---|---|
Intervention | ||||||
MDA | 0.08 (0.01–0.88) | 0.039 | 0.08 (0.01–0.91 | 0.042 | ||
Non-MDA | Reference | Reference | ||||
Coverage | ||||||
MDA completed 3 rounds | 0.06 (0.01–0.64) | 0.020 | 0.06 (0.01–0.066) | 0.022 | ||
MDA completed 1 and 2 rounds | 0.11 (0.01–1.74) | 0.118 | 0.11 (0.01–1.70) | 0.114 | ||
MDA not completed in a single round/No MDA | 0.50 (0.04–6.27) | 0.591 | 0.52 (0.04–6.47) | 0.611 | ||
Non-MDA | Reference | Reference | ||||
Gender | ||||||
Male | 1.00 (0.72–1.39) | 0.990 | 1.01 (0.73–1.39) | 0.963 | 1.03 (0.74–1.41) | 0.878 |
Female | Reference | Reference | Reference | |||
Age in year | 0.99 (0.98–1.00) | 0.088 | 0.99 (0.98–1.00) | 0.087 | 0.099 (0.98–1.00) | 0.089 |
Fever | 0.91 (0.50–1.67) | 0.759 | ||||
Bed net use | ||||||
Regular | Reference | |||||
Irregular | 1.07 (0.80–1.43) | 0.646 | ||||
Never use | 1.10 (0.58–2.07) | 0.775 | ||||
Season | ||||||
Wet | 1.04 (0.84–1.28) | 0.725 | 1.04 (0.84–1.28) | 0.724 | 1.05 (0.85–1.29) | 0.667 |
Dry | Reference | Reference | Reference |
IRR incidence rate ratio
aAdjusted for gender, age, fever and season
The effects of MDA on the prevalence and incidence of clinical P. falciparum malaria as detected by RDT
Over the 12 months surveillance period 10 falciparum malaria cases, defined as fever and confirmed infection were diagnosed in early MDA villages and 38 in villages with deferred MDA (Table 5). The prevalence (95% CI) of falciparum malaria cases was 0.0% (0.0–0.4) at M3, 0.9% (0.4–1.7) at M6, 0.1% (0.0–0.6) at M9 and zero percent at M12 in the early MDA village. In the deferred-MDA village, the falciparum malaria prevalence was 0.2% (0.2–0.7) at M3, 2.4% (6–3.5) at M6, 0.8% (0.3–1.5) at M9 and zero percent at M12. The difference in falciparum malaria prevalence between early MDA and deferred-MDA villages was statistically significant at M6 and M9 (p = 0.008 and p = 0.035, respectively). The incidence per 1000 person-years of clinical P. falciparum malaria at M6 and M9 was significantly lower in the early MDA than in the deferred -MDA villages (p = 0.011 and p = 0.037, respectively) (Table 5).
Table 5.
Variables | Village status | Baseline | Follow-up time | |||
---|---|---|---|---|---|---|
M0 | M3 | M6 | M9 | M12 | ||
Number of villagersa | Early MDA | 883 | 889 | 877 | 879 | 899 |
Deferred-MDA | 1036 | 1029 | 1071 | 1022 | 1022 | |
Number of Pf clinical caseb | Early MDA | 1 | 0 | 8 | 1 | 0 |
Deferred-MDA | 2 | 2 | 26 | 8 | 0 | |
Prevalence of Pf clinical case 95% CI | Early MDA | 0.0 (0.0–0.4) | 0.9 (0.4–1.7) | 0.1 (0.0–0.6) | 0 | |
Deferred-MDA | 0.2 (0.2–0.7) | 2.4 (1.6–3.5) | 0.8 (0.3–1.5) | 0 | ||
p-value | 0.192 | 0.008 | 0.035 | |||
PF exposure time (person-year) | Early MDA | N/A | 222 | 219 | 220 | 220 |
Deferred-MDA | N/A | 257 | 268 | 256 | 205 | |
Incidence of clinical Pf infection 95% CI (per 1000 person-years) | Early MDA | N/A | 0 (0–6.6) | 36 (16–72) | 4.6 (0.1–25.3) | 0 |
Deferred-MDA | N/A | 8 (0.9–28.1) | 97 (63–142) | 31 (13.5–61.6) | 0 | |
p-value | 0.288 | 0.011 | 0.037 |
aNumber of villagers who have RDT result
bConfirmed by RDT
Seasonal variability of the prevalence of asymptomatic P. falciparum parasitaemia
The prevalence of asymptomatic P. falciparum parasitaemia increased in April (M0) (17.5% in deferred MDA and 4–8% in early MDA villages) and in October (M6) (15% in deferred MDA and 1.1% in early MDA villages). The falciparum prevalence increased in deferred MDA villages following the peak rainfall in July 2016 and slightly decreased during the dry season from November to February (Fig. 3).
Recurrent and persistent P. falciparum infections
The proportion of participants who had P. falciparum infections at M0 and were cured during follow-up at M3, M6, M9 and M12 was higher in early MDA village (40/41; 98%) than in deferred MDA village (39/140; 28%; p < 0.001). In deferred MDA villages 26/140 (18.5%) participants were found to be infected with P. falciparum once, 32/140 (22.8%) twice, 22/140 (15.7%) three times and 21/140 (15%) four times. In the early MDA villages only one (2.5%) participant was infected with P. falciparum three times during tri-monthly follow-up (Table 6).
Table 6.
Village status | Number of P. falciparum infections at M0 | Number of P. falciparum infections during all follow-up time points (M3, M6, M9 and M12) | ||||
---|---|---|---|---|---|---|
Uninfected | Infection 1 time |
Infection 2 times |
Infection 3 times |
Infection 4 times |
||
Deferred MDA village, n (%) | 140 | 39 (27.8) | 26 (18.5) | 32 (22.8) | 22 (15.7) | 21 (15.0) |
Early MDA village, n (%) | 41 | 40 (97.5) | 0 | 0 | 1 (2.5) | 0 |
p-valuea | p < 0.001 | |||||
Total | 181 | 79 (43.6) | 26 (32.0) | 32 (17.6) | 23 (12.7) | 21 (11.6) |
aUsing z test or Chi square test
Adverse events
Adverse events were treated and followed-up in early MDA villages. 282 of 872 (32%) reported 295 adverse events following participation in the MDAs. The most frequent complaints were common cold (17.3%; 51/295), gastritis (7.5%; 22/295), diarrhoea (7.5%; 22/295), vomiting (6.8%; 20/295), dizziness (6.1%; 18/295), pruritus (6.1%; 18/295), watery stool (4.1%; 12/295), nausea (2.7%; 8/295), headache (2.7%; 8/295) and others (38%; 112/295). Most adverse events (98.6%; 291/295) were mild, 3 (1.0%) adverse events were moderate and 1 (0.3%) adverse event was severe, a case of pneumonia was considered severe and required hospitalization (Table 7).
Table 7.
Type of adverse events | Number of people with events | Number of events | % of event |
---|---|---|---|
n = 282 | n = 295 | ||
Common cold | 50 | 51 | 17.3 |
Gastritis | 22 | 22 | 7.5 |
Diarrhea | 22 | 22 | 7.5 |
Vomiting | 20 | 20 | 6.8 |
Dizziness | 18 | 18 | 6.1 |
Pruritus | 16 | 18 | 6.1 |
Watery stool | 12 | 12 | 4.1 |
Nausea | 8 | 8 | 2.7 |
Headache | 8 | 8 | 2.7 |
Cough | 4 | 4 | 1.4 |
Others | 102 | 112 | 38.0 |
Discussion
The emergence of artemisinin and partner drug resistance leaves few treatment options for countries in the Greater Mekong Sub-region, including Laos [1, 2, 13, 14]. This is a first study in Laos evaluating the impact, feasibility, safety and effectiveness of a MDA consisting of DHA–PP and single low dose primaquine as a potential tool to eliminate P. falciparum parasitaemia.
For a MDA to be successful, a high population coverage is essential and mathematical modellers have suggested that at least 80% population coverage is required for MDA to interrupt the local malaria transmission [15–17]. In early MDA villages alone 84% (872/1036) of the residents participated in the MDA and of those who participated 90% (781/872) completed all 3 rounds (9 doses). Achieving such a high coverage required concerted action of all involved including intensive community engagement, provision of ancillary care, monetary and non-monetary incentives and the factors embedded in local social and cultural context such as cohesive nature of the communities and decision making dynamics within the households [7, 10, 11].
Plasmodium infections were actively monitored every 3 months for a year in both intervention villages and control villages. Consistent with observations in Myanmar and Cambodia the incidence and prevalence of P. falciparum infections was suppressed in villages after the early MDAs [13, 18]. In Laos the effect of MDAs persisted throughout the follow up period.
Future roll out of MDA in Laos may be able to interrupt the transmission of P. falciparum if high coverage can be assured and basic malaria control measures such as access to LLIN and early diagnosis and treatment is assured. A recent MDA in Zambia employed only 2 rounds of DHA–PP and showed a substantial albeit temporary impact on malaria prevalence, cumulative infection incidence and confirmed case incidence rates over a 5 months follow-up period [19]. A scale-up of targeted malaria elimination which includes the basic malaria control measures combined with MDA in hotspots has recently been successfully implemented in Thai-Myanmar border areas [20]. MDA in the real world of malaria control programmes may become more feasible and acceptable as neither blood sampling nor follow up are required.
Two systematic reviews of MDAs suggest that MDA interrupts the malaria transmission temporarily followed by a rebound in malaria prevalence (but not to the level of pre-intervention). In isolated geographical locations such as islands, where introduction of new malaria cases are low due to minimal or no migration the impact of MDAs is longer lasting [16, 17]. So far, only one study in Vanuatu Island has shown permanent interruption of malaria transmission following MDAs [21, 22].
In general, MDA was well tolerated and safe. Sub-studies accompanying this study reported that adverse events were conflated in villagers’ perception with pre-existing illnesses. Community engagement that accompanied this study provided free health care in these villages which could mean that villagers felt more encouraged to attend the health centres and the services provided owing to the fact that economical barriers were removed [7, 10, 11]. In a scale up programme in Thai-Myanmar border areas, which includes MDAs, monitoring the adverse events of anti-malarials was critical in the successful implementation of malaria posts and MDAs [20]. Future studies could benefit from exploring factors related to the perception of adverse events and ways to mitigate the negative effect of adverse events on the perception of MDAs. In the current study, adverse events triggered deployment of additional doctors (who stayed in the villages until the study finished) and health centre staff who were mobilized to provide health care [7, 10, 11].
Strengths and limitations
This study randomised only 4 villages into 2 arms with 2 villages in each arm. Despite the limited statistical power the current study was able to show meaningful differences between study arms. A large multi-centre study of which the current study was part of, has just been completed in the GMS and will provide more robust evidence for the effectiveness of the intervention. The current study could have benefitted by incorporating detailed entomological observations to test the impact in terms of the human biting rate, sporozoite index, and entomological inoculation rate of MDA on vectors [20]. Future implementation of MDA in malaria control programmes will require detailed cost efficacy analyses to guide policy makers. In the current pilot study, the implementation team and the government authorities invested considerable resources including intensive community engagement to achieve high coverage, not only in the participation in MDAs but also in the intensive monitoring and evaluation of the intervention. In scaling up of MDAs, intense community engagement with allocation of incentives for participation may neither be possible, nor required but could ultimately affect participation. The current project was initiated by researchers and relied on the enthusiasm of the villagers. Different forces, e.g. conformity may play a more important role once the programme is part of a national malaria elimination programme. Scaling up the programme without frequent blood collections, may also increase the community participation.
Conclusions
In a remote, malaria endemic region of Savannakhet Province, Laos, MDA consisting of 3 rounds DHA–piperaquine with a single low dose of primaquine at monthly intervals was found safe, well tolerated and feasible when accompanied by intensive community engagement. Following the intervention MDA, sub-microscopic malaria prevalence was significantly reduced in intervention villages compared to control villages. A high population coverage with adherence to all 3 rounds was critical for this success. Achieving high population coverage in remote communities requires accompanying community engagement. For future roll out, an adequate community engagement strategy entailing community collaboration and sharing of responsibility with community members is critical. This study shows significant reduction in P. falciparum prevalence and incidence following MDA. MDA can become an effective intervention tool for malaria elimination in Savannakhet Province and potentially other parts of Laos and the GMS. Interruption of transmission and thus malaria elimination can only be achieved if the re-importation of malaria can be prevented. Future studies should integrate MDAs with multi-pronged approaches such as vector control (e.g. ivermectin) and preventive measures (e.g. anti-malarial vaccines) with a focus on high risk groups, such as mobile populations and forest goers.
Authors’ contributions
Concept and design of the study: NJW, AMD, LvS, MM, SP and TP. Field work: KP, BA, GH and TP. Laboratory work: MI, KP and GH. Data curation and analysis: TP, MMu, PP and LvS. Drafting of the manuscript: TP, BA, MM and LvS. Overall supervision: AMD, NJW, NPJD, PNN, LvS, MM, SP, KC, BH, PS and TP. All authors read and approved the final manuscript.
Acknowledgements
We would like to thank the respondents who generously participated in the study. We would like to acknowledge all the staff and volunteers who contributed in TME. We are also grateful to staff and authorities who contributed in TME at Nong from LOMWRU (Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit), CMPE (Center of Malariology, Parasitology and Entomology), Savannakhet Provincial Health Department, Nong District Health Office and local health centers. We would like to thank Dr. Daniel Parker for providing training and assistance with the study maps. We are grateful to our field staff: Palingnaphone Kommarasy, Xayaphone Soundala, Phonesavanh Souvanthong, Sounthaly Suvannalat and Souksavanh Symanivong.
Competing interests
The authors declare that they have no competing interests.
Availability of data and materials
The data is available upon request to the Mahidol Oxford Tropical Medicine Research Unit Data Access Committee (http://www.tropmedres.ac/data-sharing) complying with the data access policy (http://www.tropmedres.ac/_asset/file/data-sharing-policy-v1-0.pdf).
Consent for publication
Not applicable.
Funding
This study was funded by the Bill and Melinda Gates Foundation and the Wellcome Trust. The Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit and the Mahidol Oxford Tropical Medicine Research Unit are funded by the Wellcome Trust.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data is available upon request to the Mahidol Oxford Tropical Medicine Research Unit Data Access Committee (http://www.tropmedres.ac/data-sharing) complying with the data access policy (http://www.tropmedres.ac/_asset/file/data-sharing-policy-v1-0.pdf).